An experiment in composite AI thinking began with a simple premise: submit the same prompt to three frontier models — ChatGPT ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

A high-performance implementation of Dijkstra's shortest path algorithm comparing sequential and parallel approaches using Intel TBB (Threading Building Blocks). Dijkstra/ ├── main.cpp # Main program ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

This repository provides Python implementations of two fundamental search algorithms: Sequential Search and Binary Search. It includes detailed and easy-to-understand code for both algorithms, ...

Bladder cancer, when diagnosed at an advanced stage, often necessitates inevitable invasive intervention. Consequently, non-invasive biosensor-based cancer detection and AI-based precision screening ...

This paper presents an optimized strategy for multiple integrations of photovoltaic distributed generation (PV-DG) within radial distribution power systems. The proposed methodology focuses on ...

A NEW sequential diagnostic algorithm combining the Fibrosis-4 Index (FIB-4) and an ultrasound-based deep learning (DL) model has demonstrated improved accuracy and referral efficiency for identifying ...

Sampling from complex probability distributions is important in many fields, including statistical modeling, machine learning, and physics. This involves generating representative data points from a ...